Evidence map›Paper›PMID 32580871›Full record

ReviewNursing outlook

Sensor technology for nursing research.

Nancy S Redeker

Abstract readReview
In one paragraph

Review in Nursing outlook. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Nancy S RedekerYale School of Nursing, Yale School of Medicine, Department of Internal Medicine, Yale University, West Haven CT. Electronic address: Nancy.redeker@yale.edu.

Funding

Rest Activity Rhythms and Cognitive Function in Stable Heart FailureR01NR016191 · NINR · YALE UNIVERSITY · PI REDEKER, NANCY S · 2015 to 2019
$3.6M
Yale Center for Sleep Disturbance in Acute and Chronic ConditionsP20NR014126 · NINR · YALE UNIVERSITY · PI REDEKER, NANCY S, YAGGI, HENRY KLAR · 2012 to 2016
$1.4M
NURSE HOME VISITATION FOR MOTHERS AND CHILDRENR01NR001691 · NINR · UNIVERSITY OF ROCHESTER · PI OLDS, DAVID L · 1988 to 1992
–
NINR NIH HHS P20 NR014126NINR NIH HHS R01 NR001691NINR NIH HHS R01 NR016191
6 · The paper itself

Abstract

backgroundElectronic sensors measuring biological and behavioral aspects of health and the environment are becoming ubiquitous and, with advances in data science and ehealth technology, provide opportunities for new inquiry and innovative approaches to nursing research. PURPOSE: To conceptualize the use of sensor technology from the perspective of nursing science.

methodsThis review reports the keynote presentation from the Expanding Science of Sensor Technology in Nursing Research Conference presented by the Council for Advancement of Nursing Science in 2019

findingsElectronic sensors enable collection, recording, and transmission of data in real time in real life settings, remote monitoring, self-monitoring, and communication between health care professionals and patients. A deliberative approach to selecting and applying electronic sensors and analyzing and interpreting the data is needed for successful research. DISCUSSION: Electronic sensors have high potential to advance nursing science.

Indexed as

ForecastingHumansInventionsMonitoring, PhysiologicNursing CareTelemedicinebiomarkersehealthenvironmental healthexercisenursingSensorssleepxenvironmental health

Identifiers

PMID32580871
PMCPMC9398206

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.